This page archives the meetings of the Causality Reading Group from 2014 to 2020. Currently, the reading group has been put on hold until further notice.
| Date | Time | Location | Article | Discussant |
|---|---|---|---|---|
| Dec 17 | 13:00 | C3.163 | A Bayesian nonparametric test for conditional independence by Onur Teymur | Patrick Forré |
| Dec 3 | 13:00 | C3.163 | Causal Regularization by Dominik Janzing | Philip Versteeg |
| Nov 26 | 13:00 | C3.163 | Adjacency-Faithfulness and Conservative Causal Inference by Joseph Ramsey et al. | Alexander Marx |
| Oct 22 | 13:00 | C3.163 | Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation by Ruibo Tu et al. | Noud de Kroon |
| Sep 24 | 13:00 | C3.163 | Approximate Causal Abstraction by Sander Beckers et al. | Stephan Bongers |
| Sep 10 | 13:00 | C3.163 | Active Causal Discovery by Predicting Counterfactual Outcomes | Aron Hammond |
| Aug 27 | 13:00 | C3.163 | Invariant Risk Minimization by Martin Arjovsky et al. | Patrick Forré |
| Aug 13 | 13:00 | C3.163 | Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach by Tikka et al. | Philip Versteeg |
| July 16 | 13:00 | C3.163 | Density estimation using Real NVP by Laurent Dinh et al. | Stephan Bongers |
| July 2 | 13:00 | C3.163 | Abstracting Causal Models by Sander Beckers and Joseph Y. Halpern | Tineke Blom |
| June 18 | 13:00 | C3.163 | Causal Confusion in Imitation Learning by De Haan et al. | Noud de Kroon |
| June 11 | 13:00 | C3.163 | Orthogonal Structure Search for Efficient Causal Discovery from Observational Data by Raj et al. | Phillip Versteeg |
| May 14 | 13:00 | C3.163 | Learning Disentangled Representations with Semi-Supervised Deep Generative Models by Siddharth et al. | Stephan Bongers |
| Apr 30 | 13:00 | C3.163 | Structural Causal Bandits: Where to Intervene? by Lee and Bareinboim | Noud de Kroon |
| Apr 16 | 13:00 | C3.163 | Defining Network Topologies that Can Achieve Biochemical Adaptation by Ma et al. and Perfect and Near-Perfect Adaptation in Cell Signaling by Ferrell | Tineke Blom |
| Mar 19 26 | 13:00 | C3.163 | Dynamic Chain Graph Models for Ordinal Time Series Data by Behrouzi et al. | Pariya Behrouzi |
| Feb 12 | 13:00 | C3.163 | Causal Reasoning from Meta-reinforcement Learning by Dasgupta et al. | Noud de Kroon |
| Feb 5 | 13:00 | A1.14 | Small workshop with presentations (mostly) on counterfactuals by Robert van Rooij, Katrin Schultz, and Joris Mooij | Joris Mooij |
| Jan 29 | 13:00 | C2.109 | Cause-Effect Deep Information Bottleneck For Incomplete Covariates by Parbhoo et al. (2018) | Stephan Bongers |
| Jan 15 | 13:00 | C3.163 | Equality of Opportunity in Classification: A Causal Approach by Junzhe Zhang and Elias Bareinboim (2018) | Tineke Blom |
| Date | Time | Location | Article | Discussant |
|---|---|---|---|---|
| Dec 18 | 13:00 | C2.109 | Learning Predictive Models That Transport by Subbaswamy et al. (2018) | Thijs van Ommen |
| Dec 4 | 13:00 | C3.163 | Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search by Buesing et al. (2018) | Noud de Kroon |
| Nov 27 | 13:00 | C2.109 | Multi-domain Causal Structure Learning in Linear Systems by Ghassami et al. (2018) | Philip Versteeg |
| Nov 20 | 13:00 | C3.163 | Multiple Causal Inference with Latent Confounding by Ranganath and Perotte (2018) | Stephan Bongers |
| Nov 13 | 13:00 | C3.163 | A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias by Strobl (2018) | Patrick Forré |
| Oct 23 | 14:00 | C3.163 | Model selection and local geometry by Evans (2018) | Thijs van Ommen |
| Oct 16 | 14:00 | C3.163 | Learning Functional Causal Models with Generative Neural Networks by Goudet et al. (2017) | Philip Versteeg |
| Oct 9 | 14:00 | C3.163 | Causal Learning for Partially Observed Stochastic Dynamical Systems by Mogensen et al. (2018) | Stephan Bongers |
| Oct 2 | 14:00 | C3.163 | The inflation technique solves completely the classical inference problem by Navascues and Wolf (2017) | Patrick Forré |
| Sep 25 | 14:00 | C2.109 | The Inflation Technique for Causal Inference with Latent Variables by Wolf et al. (2018) [part 2] | Tineke Blom |
| Sep 18 | 14:00 | C3.146 | The Inflation Technique for Causal Inference with Latent Variables by Wolf et al. (2018) [part 1] | Tineke Blom |
| Sep 11 | 14:00 | C3.163 | The Inferelator by Bonneau et al. (2016) | Joris Mooij |
| Jul 12 | 15:00 | C3.146 | Counterfactual Risk Minimization: Learning from Logged Bandit Feedback (2015) by Swaminathan and Joachims | Philip Versteeg |
| Jun 28 | 15:00 | C3.146 | Causality and model abstraction by Iwasaki and Simon (1994) [part 2] | Stephan Bongers |
| Jun 14 | 15:00 | C3.146 | The blessing of multiple causes by Wang and Blei (2018) | Patrick Forré |
| Jun 7 | 15:00 | C3.146 | Paper Draft | Thijs van Ommen |
| May 24 | 15:00 | C3.146 | The Blessings of Multiple Causes by Wang and Blei (2018 | Patrick Forré |
| May 17 | 15:00 | C3.146 | Information Processing Features Can Detect Behavioral Regimes of Dynamical Systems by Quax et al. (2017) | Rick Quax |
| Apr 26 | 15:00 | C3.146 | Causality and model abstraction by Iwasaki and Simon (1994) [part 1] | Tineke Blom |
| Apr 12 | 15:00 | C3.146 | Joint Causal Inference from Multiple Datasets by et al. (2018) | Joris Mooij |
| Apr 5 | 15:00 | C3.146 | Efficient Structure Learning of Bayesian Networks using Constraints by de Campos and Ji (2011) | Thijs van Ommen |
| Mar 29 | 15:00 | C3.146 | Consistency Guarantees for Permutation-Based Causal Inference Algorithms by Solus et al. (2017) | Philip Versteeg |
| Mar 2 | 15:00 | C3.146 | On the latent space of Wasserstein Auto-Encoders by Rubinstein et al . (2018) | Stephan Bongers |
| Feb 15 | 15:00 | C3.146 | Predictive Independence Testing, Predictive Conditional Independence Testing, and Predictive Graphical Modelling by Burkart and Király (2017) | Patrick Forré |
| Jan 11 | 15:00 | C3.146 | Extended Conditional Independence and Applications in Causal Inference by Constantinou and Dawid (2017) | Patrick Forré |
| Date | Time | Location | Article | Discussant |
|---|---|---|---|---|
| Dec 21 | 15:00 | C3.146 | Influence of node abundance on signaling network state and dynamics analyzed by mass cytometry by Lun et al.(2017) | Tineke Blom |
| Nov 16 | 15:00 | C3.146 | Causal inference using the algorithmic Markov condition by Janzing and Schoelkopf (2008) and Causal Markov condition for submodular information measures by Steudel et al. (2010) | Patrick Forré |
| Nov 9 | 15:00 | C3.146 | Telling Cause from Effect using MDL-based Local and Global Regression by Marx and Vreeken (2017) | Thijs van Ommen |
| Nov 2 | 15:00 | C3.146 | Implicit Causal Models for Genome-wide Association Studies by Tran and Blei (2017) | Joris Mooij |
| Oct 28 | 15:00 | C3.146 | Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges by Eigenmann et al. (2017) | Tineke Blom |
| Oct 12 | 15:00 | C3.146 | Identifying Best Interventions through Online Importance Sampling by Sen et al. (2017) | Philip Versteeg |
| Sep 28 | 15:00 | C3.146 | Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information by Jakob Runge (2017) | Patrick Forré |
| Sep 21 | 15:00 | C3.146 | Avoiding Discrimination through Causal Reasoning by Kilbertus et al. (2017) | Sara Magliacane |
| Sep 14 | 15:00 | C3.146 | CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training by Kocaoglu et al. (2017) | Patrick Forré |
| Aug 25 | 14:00 | C3.146 | Paper draft | Patrick Forré |
| Aug 18 | 14:00 | C3.146 | Ch5-8 of Counterfactual Reasoning and Learning Systems by Bottou et al. (2013) | Philip Versteeg |
| Aug 11 | 14:00 | C3.146 | Ch1-4 of Counterfactual Reasoning and Learning Systems by Bottou et al. (2013) | Philip Versteeg |
| Jul 28 | 14:00 | C3.146 | Discovering Causal Signals in Images by Lopez-Paz et al. (2017) | Patrick Forré |
| Jul 21 | 14:00 | C3.146 | Margins of discrete Bayesian networks by Evans (preprint) | Thijs van Ommen |
| Jul 14 | 14:00 | C3.146 | Revisiting Classifier Two-Sample Tests by D. Lopez-Paz and M. Oquab (2016) | Stephan Bongers |
| Jul 7 | 14:00 | C3.146 | Causal Discovery in the Presence of Measurement Error: Identifiability Conditions by Zhang (2017) | Tineke Blom |
| Jun 16 | 14:00 | C3.146 | Zhang et al. (2013), Zhang et al. (2015) and Gong et al. (2016) | Tineke Blom, Stephan Bongers and Thijs van Ommen |
| May 12 | 14:00 | C3.146 | On Causal and Anticausal Learning by Scholkopf et al (2012) | Sara Magliacane |
| Mar 17 | 14:00 | C3.146 | Paper draft | Stephan Bongers |
| Mar 10 | 14:00 | C3.146 | Strong completeness and faithfulness in Bayesian networks by Meek (1995) | Joris Mooij |
| Mar 3 | 14:00 | C3.146 | Unifying Markov Properties for Graphical Models by Lauritzen and Sadeghi (preprint) | Patrick Forré |
| Feb 24 | 14:00 | C3.146 | Causal Bandits: Learning Good Interventions via Causal Inference by Lattimore, Lattimore and Reid (2016) | Stephan Bongers |
| Feb 17 | 14:00 | C3.146 | Bandits with Unobserved Confounders: A Causal Approach by Bareinboim, Forney and Pearl (2016) | Philip Versteeg |
| Feb 10 | 14:00 | C3.146 | Joint Causal Inference (2016) by Magliacane, Claassen and Mooij | Sara Magliacane |
| Feb 3 | 14:00 | C3.146 | Paper draft | Christos Louizos |
| Jan 27 | 14:00 | C3.146 | Identification of Joint Interventional Distributions in Recursive Semi-Markovian Causal Models (2006) by Shpitser and Pearl | Patrick Forré |
| Jan 13 | 14:00 | C3.146 | Causal inference and the data-fusion problem by Bareinboim and Pearl (2016) | Philip Versteeg |
| Date | Time | Location | Article | Discussant |
|---|---|---|---|---|
| Jan 08 | 14:30 | C3.146 | Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing by Benjamini and Hochberg | Philip Versteeg |
| Feb 05 | 14:00 | C3.146 | Causation Prediction and Search (chapters 1&2) by Spirtes and Glymour and Scheines | Joris Mooij |
| Feb 12 | 14:00 | C3.146 | Causation Prediction and Search (chapter 3) by Spirtes and Glymour and Scheines | Alexander Ly |
| Feb 19 | 14:00 | C3.146 | Causation Prediction and Search (3.5 – 3.9) by Spirtes and Glymour and Scheines | Alexander Ly |
| Feb 26 | 14:00 | C3.146 | Causation Prediction and Search (chapter 4) by Spirtes and Glymour and Scheines | Thijs van Ommen |
| Mar 4 | 14:00 | C3.146 | Causation Prediction and Search (chapter 5.1-5.4) by Spirtes and Glymour and Scheines | Stephan Bongers |
| Mar 11 | 14:00 | C3.146 | Causation Prediction and Search (chapter 5.5-5.10) by Spirtes and Glymour and Scheines | Philip Versteeg |
| Mar 18 | 14:00 | C3.146 | Causation Prediction and Search (chapter 6) by Spirtes and Glymour and Scheines | Sara Magliacane |
| Apr 15 | 14:00 | C3.146 | Causation Prediction and Search (chapter 7) by Spirtes and Glymour and Scheinces | Joris Mooij |
| Apr 22 | 14:00 | C3.146 | Inferring the Causal Direction Privately by Kusner and Sun and Sridharan and Weinberger | Mijung Park |
| Apr 29 | 14:00 | C3.146 | On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias by Zhang (2008) | Joris Mooij |
| May 13 | 14:00 | C3.146 | Causal inference using invariant prediction: identification and confidence intervals by Peters and Bühlmann and Meinshausen (2016) | Alexander Ly |
| May 20 | 14:00 | C3.146 | Quantifying Causal Influences (2012) by Janzing and Balduzzi and Grosse-Wentrup and Schölkopf | Rick Quax |
| May 27 | 14:00 | C3.146 | Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models by Frey (2003) and Causality with Gates (2012) by Winn | Sara Magliacane |
| Jul 1 | 14:00 | C3.146 | Stephan's draft on Markov properties of graphical representations of acyclic structural causal models | Stephan Bongers |
| Jul 8 | 14:00 | C3.146 | The central role of the propensity score in observational studies for causal effects (1983) by Rosenbaum and Rubin | Thomas Klaus |
| Jul 22 | 14:00 | C3.146 | Learning Optimal Interventions by Mueller and Reshef and Du and Jaakkola | Mijung Park |
| Jul 29 | 14:00 | C3.146 | ICML 2016 Tutorial Causal Inference for Observational Studies by David Sontag and Uri Shalit | Joris Mooij |
| Aug 12 | 14:00 | C3.146 | Half-trek criterion for generic identifiability of linear structural equation models by Foygel and Draisma and Drton | Thijs van Ommen |
| Aug 19 | 14:00 | C3.146 | Graphs for Margins of Bayesian Networks (2016) by Robin Evans | Patrick Forré |
| August 26 | 14:00 | C3.146 | Estimating and Controlling the False Discovery Rate for the PC Algorithm Using Edge-Specific P-Values (2016) by Strobl and Spirtes and Visweswaran | Sara Magliacane |
| Sep 09 | 14:00 | C3.146 | The Logic of Structure-Based Counterfactuals [sections 7.1-7.3 in Causality: Models Reasoning and Inference (2009)] by Judea Pearl | Joris Mooij |
| Sep 16 | 14:00 | C3.146 | Some Title by Peters Janzing and Schölkopf (2016) [ch. 1] | Stephan Bongers |
| Sep 23 | 14:00 | C3.146 | Some Title by Peters Janzing and Schölkopf (2016) [chs. 2-3] | Stephan Bongers |
| TBA | 14:00 | C3.146 | Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization (2015) by Swaminathan and Joachims | Thorsten Joachims |
| Nov 4 | 14:00 | C3.146 | Ancestral Graph Markov Models by Richardson and Spirtes (2002) [ch. 1-3] | Joris Mooij |
| Nov 11 | 14:00 | C3.146 | Ancestral Graph Markov Models by Richardson and Spirtes (2002) [ch. 4-6] | Tineke Blom |
| Nov 18 | 14:00 | C3.146 | Ancestral Graph Markov Models by Richardson and Spirtes (2002) [ch. 6–7] | Tineke Blom |
| Nov 25 | 14:00 | C3.146 | Ancestral Graph Markov Models by Richardson and Spirtes (2002) [ch. 8-10] | Thijs van Ommen |
| Dec 16 | 14:00 | C3.146 | Identifying independence in Bayesian Networks by Geiger Verma and Pearl (1990) | Tom Claassen |
| Date | Article | Discussant |
|---|---|---|
| 2015/01/30 | Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors by M. Drton, M. Eichler, T. S. Richardson | Nicholas Cornia |
| 2015/02/13 | Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming, and supplement, by A. Hyttinen, F. Eberhardt, and M. Järvisalo | Sara Magliacane |
| 2015/02/20 | Enriching for direct regulatory targets in perturbed gene-expression profiles by S. G. Tringe, A. Wagner, S. W. Ruby | Philip Versteeg |
| 2015/02/27 | Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs by A. Hauser and P. Bühlmann | Joris Mooij |
| 2015/03/06 | Causal Discovery from Changes by J. Tian and J. Pearl | Sara Magliacane |
| 2015/03/13 | Causal Discovery from Changes: a Bayesian Approach by J. Tian and J. Pearl | Philip Versteeg |
| 2015/03/20 | Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets (pp. 1-12) by S. Triantafillou and I. Tsamardinos | Nicholas Cornia |
| 2015/03/27 | Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets (pp. 13-22) by S. Triantafillou and I. Tsamardinos | Philip Versteeg |
| 2015/04/16 | Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets (pp. 23-47) by S. Triantafillou and I. Tsamardinos; Statistical significance for genomewide studies by J.D. Storey and R. Tibshirani | Joris Mooij |
| 2015/06/12 | Feedback models interpretation and discovery, chapter 2 of PhD thesis of Thomas Richardson | Martin Gullaksen |
| 2015/07/03 | Advances in Bayesian Network Learning using Integer Programming by Bartlett and Cussens | Sara Magliacane |
| 2015/07/24 | backShift: Learning causal cyclic graphs from unknown shift interventions by Rothenhäsler, Heinze, Peters, Meinshausen | Joris Mooij |
| 2015/07/31 | Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors by M. Drton, M. Eichler, and T. S. Richardson | Joris Mooij |
| 2015/08/28 | Single timepoint models of dynamic systems by K. Sachs, S. Itani, J. Fitzgerald, B. Schoeberl, G.P. Nolan, C.J. Tomlin | Joris Mooij |
| 2015/09/11 | UAI tutorial Non-parametric Causal Models by Richardson and Evans (part 1a; slides, video) | - |
| 2015/09/18 | UAI tutorial Non-parametric Causal Models by Richardson and Evans (part 1b; slides, video) | - |
| 2015/09/25 | - | - |
| 2015/09/30 | Studies in Causal Reasoning and Learning (ch. 1, 4.1, 4.2, 4.3) by Jin Tian | Joris Mooij |
| 2015/10/02 | - | - |
| 2015/10/09 | Influence Diagrams by Howard and Matheson & Influence Diagrams - Historical and Personal Perspectives by Pearl & Influence Diagrams for Causal Modelling and Inference by A.P. Dawid | Diederik Roijers |
| 2015/10/16 | Distribution-Free Learning of Bayesian Network Structure in Continuous Domains by D. Margaritis | Sara Magliacane |
| 2015/10/23 | Graphs for margins of Bayesian networks (without section 6) by R. Evans | Stephan Bongers |
| 2015/11/06 | unspecified | Diederik Roijers |
| 2015/11/13 | Inferring latent structures via information inequalities by Chaves, Luft, Maciel, Gross, Janzing and Schölkopf | Philip Versteeg |
| 2015/11/30 11:00-12:00 | Independence Properties of Directed Markov Fields by Lauritzen, Dawid, Larsen, Leimer | TBA |
| 2015/12/4 | - | - |
| 2015/12/11 | Single World Intervention Graphs: A Primer by Richardson and Robins | Joris |
| 2015/12/22 | Single World Intervention Graphs: A Primer by Richardson and Robins | TBA |
| Date | Article | Discussant |
|---|---|---|
| 2014/05/23 | Chain graph models and their causal interpretations by S.L. Lauritzen and T.S. Richardson | Joris Mooij |
| 2014/06/13 | Classification using Discriminative Restricted Boltzmann Machines by H. Larochelle and Y. Bengio | Sergio Mota |